Methods and Models in Mathematical Biology: Deterministic and Stochastic Approaches - Lecture Notes on Mathematical Modelling in the Life Sciences (Paperback)
  • Methods and Models in Mathematical Biology: Deterministic and Stochastic Approaches - Lecture Notes on Mathematical Modelling in the Life Sciences (Paperback)
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Methods and Models in Mathematical Biology: Deterministic and Stochastic Approaches - Lecture Notes on Mathematical Modelling in the Life Sciences (Paperback)

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£74.99
Paperback 711 Pages / Published: 20/08/2015
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This book developed from classes in mathematical biology taught by the authors over several years at the Technische Universitat Munchen. The main themes are modeling principles, mathematical principles for the analysis of these models and model-based analysis of data. The key topics of modern biomathematics are covered: ecology, epidemiology, biochemistry, regulatory networks, neuronal networks and population genetics. A variety of mathematical methods are introduced, ranging from ordinary and partial differential equations to stochastic graph theory and branching processes. A special emphasis is placed on the interplay between stochastic and deterministic models.

Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN: 9783642272509
Number of pages: 711
Weight: 1472 g
Dimensions: 235 x 155 x 37 mm
Edition: 1st ed. 2015


MEDIA REVIEWS
"This extensive textbook provides an introduction to the most important mathematical tools and models used in mathematical biology. ... Each section is supplemented with exercises and each chapter has an appendix with the solutions to the exercises ... . The book concludes with an extensive bibliography and is well suited as an introduction to the subject for graduate students with a strong mathematics background and for researchers." (W. Huyer, Monatshefte fur Mathematik, Vol. 186 (3), 2018)

"The core of the book is based on a two-semester graduate course on the mathematical modeling of biological systems. In my opinion, the book is targeted at graduate students with a strong mathematics background. ... The book has a very nice diversity of topics in biology and applied dynamical systems. ... There is a nice bank of exercises, at the right level for first to second year graduate students." (Zachary P. Kilpatrick, SIAM Review, Vol. 59 (1), March, 2017)

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